Andrew Leventhal

21 papers receiving 654 citations

Peers

Andrew Leventhal
Comparison fields: 5 of 84
  • Surgery 280
  • Physiology 26
  • Biochemistry 32
  • Cell Biology 71
  • Molecular Biology 298
Replace Satoshi Yoshino with:
Satoshi Yoshino Japan
Daniel Wong United States
HS Kim South Korea
Zhipeng Sun China
Peter Jehle Germany
Takuya Seike Japan
Christopher Franklin United Kingdom
Andrés Peña Spain
Min Yee United States
E. Cutz Canada
Andrew Leventhal relative to Satoshi Yoshino Japan Satoshi Yoshino's profile →
Citations per field
00.5×3.5×
Satoshi Yoshino · 1×
Citations per year

Countries citing papers authored by Andrew Leventhal

Since Specialization
Citations

This map shows the geographic impact of Andrew Leventhal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Leventhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Leventhal more than expected).

Fields of papers citing papers by Andrew Leventhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Leventhal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Leventhal. The network helps show where Andrew Leventhal may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrew Leventhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Leventhal Line = papers co-authored together Andrew Leventhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001151
2 2008135
3 2001106
4 201756
5 200051
6 201647
7 200825
8 198521
9 200419
10 199918
11 201911
12
Coal Washery Reject as an Engineered Material
19967
13 20156
14
ASSESSMENT OF LANDSLIDE LIKELIHOOD IN THE PITTWATER LOCAL GOVERNMENT AREA
20076
15 20194
16 20164
17
Spontaneous Combustion In Open-Cut Coal Mining Spoil Piles: A Challenging Legacy
20003
18
Landslide Risk Management for Australia
20093
19 20153
20 19723

About Andrew Leventhal

Andrew Leventhal is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Management, Monitoring, Policy and Law, having authored 26 papers that have together received 684 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Cholesterol and Lipid Metabolism (4 papers), Landslides and related hazards (4 papers), Vascular anomalies and interventions (3 papers), Streptococcal Infections and Treatments (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Geotechnical and Geomechanical Engineering (3 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Surgery (280 citations), Physiology (26 citations), Biochemistry (32 citations), Cell Biology (71 citations) and Molecular Biology (298 citations). Andrew Leventhal has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ira Tabas, Wengen Chen, Alan R. Tall, George Kuriakose, Edward H. Schuchman, Cecilia Devlin, Kevin Jon Williams, Yu Sun, Anna Gorelik and Carrie L. Welch. Their work appears in journals such as JACC: Cardiovascular Interventions, Journal of Biological Chemistry, Engineering Geology, Arteriosclerosis Thrombosis and Vascular Biology and The Annals of Thoracic Surgery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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